Phosphorylation of StarD10 on Serine 284 by Casein Kinase II Modulates Its Lipid Transfer Activity
Bibliographic record
Abstract
StarD10 is a dual specificity lipid transfer protein capable of shuttling phosphatidylcholine and phosphatidylethanolamine between membranes in vitro. We now provide evidence that, in vivo, StarD10 is phosphorylated on serine 284. This novel phosphorylation site was identified by tandem mass spectrometry of immunoaffinity-purified StarD10 from lysates of HEK293T cells transiently expressing the protein. In vitro kinase assays revealed that casein kinase II was capable of phosphorylating wild-type StarD10 but not a S284A mutant protein. Interestingly, hypotonic extracts prepared from HEK293T cells expressing the serine to alanine mutant exhibited increased lipid transfer activity compared with those from wild-type StarD10-expressing cells, suggesting that, in a cellular context, phosphorylation on serine 284 negatively regulates StarD10 activity. Because casein kinase II phosphorylation also inhibited lipid transfer activity of the purified recombinant StarD10 protein, inhibition is not dependent on any cellular cofactors. Instead, our data show that C-terminal StarD10 phosphorylation on serine 284 regulates its association with cellular membranes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".